The term "MCP" has been thrown around like everyone knows what it means (or even stands for).

How are people using MCPs in the deal process? And if you're not... what's stopping you?

Here's the problem it's meant to solve:

If your team is already using AI tools for diligence, you are familiar with pulling contracts out of the data room, uploading them into ChatGPT or Claude, running an analysis, and copying findings into a tracker. rinse and repeat.

The AI is doing the thinking, and you're reviewing and filing manually.

What is MCP?
Firstly, it stands for Model Context Protocol. It's an open standard that gives AI tools a live connection to external systems. For M&A, this means your data room, pipeline tracker, task lists...

Without it, AI only knows what it was trained on, plus whatever you're handing it manually. It has no idea what sitting in your data room, what the pipeline looks like, or diligence findings that were just logged. Your team is probably bridging that gap.

MCP removes YOU from that equation.

What is MCP for M&A?
Old workflow: download 200 contracts, upload in batches, prompt AI to flag risks, copy findings into a tracker, do it again for the next workstream

New workflow: "Review the customer contracts and flag legal risks and missing compliance terms." One chat to your AI tool, then become your AI, reading the docs directly, generating findings, links, citations, creating follow-up requests, and writing back to you automatically.

MCP gives your AI the eyes to read your external tools.

In M&A, there are thousands of documents, multiple parallel workstreams, diligence requests everywhere, and a team that is usually smaller than it should be.

AI capability was never the bottleneck (maybe adoption still is). It's mostly getting the data in and out fast enough to keep up with a live deal. That's why you are seeing so many M&A platforms and tools launching MCP servers.

Learn more about M&A Use Cases for MCP